performance-pass

What problem does it solve?

This skill helps teams quickly identify and prevent performance regressions by surfacing obvious bottlenecks in latency, throughput, rendering, memory, or database load.

Core Features & Use Cases

• Backend checks for API performance, including pagination defaults, avoiding N+1 patterns, adding appropriate caching headers, and validating payload sizes.
• Database considerations such as index alignment with query predicates and sort order, migration impact, and monitoring for inefficient queries.
• Runtime and frontend considerations like minimizing allocations in hot paths, ensuring correct async usage, and safe data-fetching and rendering strategies.
• Verification steps include running builds, collecting metrics, comparing baselines, and documenting potential perf risks and mitigations.

Quick Start

Run a quick performance audit on the affected feature and capture baseline latency and memory metrics.